{"title":"盒计数连续图像指数(BCSI)与点计数连续图像指数(PCSI)在黄褐斑评分中的比较:一项非干预性验证研究。","authors":"Papishetty Prathyusha, Jabeen Nihaa, Rangappa Vinutha, Pss Ranugha, N Srilakshmi, Shastry Veeranna, Garehatty Rudrappa Kanthraj","doi":"10.25259/IJDVL_1417_2024","DOIUrl":null,"url":null,"abstract":"<p><p>Background Point counting serial image index (PCSI) is a scoring method used to assess the area and severity of melasma. Double tracing and the inability to assess scattered pigmentation are its limitations. Objectives To propose modifications to PCSI, the Box counting serial image index (BCSI) was compared and validated with PCSI. Methods In BCSI, a preset grid was placed, and serial images were captured. One speck of pigmentation was counted as one box. The area involved and time taken were recorded by the principal investigator and coinvestigator using BCSI and PCSI methods, respectively. The intensity of the pigmentation was recorded on a scale of 0-5. Melasma score = Area x Intensity of pigmentation. The difference in the total scores and time taken were analysed. Results A significant decrease (p<0.0003) in the total scores between baseline and first follow-up and baseline and second follow-up was observed in both methods. Similarly to PCSI, BCSI was found to be sensitive to changes over time with treatment (p<0.0003). These p values were recalculated using Bonferroni corrections. The mean time taken by PCSI was significantly higher than BCSI (p < 0.0003). Limitations Grid placement over bony prominences and interference of facial hair. Conclusion BCSI overcomes the limitations of PCSI by directly capturing images and it is easy and rapid.</p>","PeriodicalId":50376,"journal":{"name":"Indian Journal of Dermatology Venereology & Leprology","volume":" ","pages":"1-6"},"PeriodicalIF":3.2000,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Box counting serial image index (BCSI) versus point counting serial image index (PCSI) in scoring melasma: A comparative, non-interventional validation study.\",\"authors\":\"Papishetty Prathyusha, Jabeen Nihaa, Rangappa Vinutha, Pss Ranugha, N Srilakshmi, Shastry Veeranna, Garehatty Rudrappa Kanthraj\",\"doi\":\"10.25259/IJDVL_1417_2024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Background Point counting serial image index (PCSI) is a scoring method used to assess the area and severity of melasma. Double tracing and the inability to assess scattered pigmentation are its limitations. Objectives To propose modifications to PCSI, the Box counting serial image index (BCSI) was compared and validated with PCSI. Methods In BCSI, a preset grid was placed, and serial images were captured. One speck of pigmentation was counted as one box. The area involved and time taken were recorded by the principal investigator and coinvestigator using BCSI and PCSI methods, respectively. The intensity of the pigmentation was recorded on a scale of 0-5. Melasma score = Area x Intensity of pigmentation. The difference in the total scores and time taken were analysed. Results A significant decrease (p<0.0003) in the total scores between baseline and first follow-up and baseline and second follow-up was observed in both methods. Similarly to PCSI, BCSI was found to be sensitive to changes over time with treatment (p<0.0003). These p values were recalculated using Bonferroni corrections. The mean time taken by PCSI was significantly higher than BCSI (p < 0.0003). Limitations Grid placement over bony prominences and interference of facial hair. Conclusion BCSI overcomes the limitations of PCSI by directly capturing images and it is easy and rapid.</p>\",\"PeriodicalId\":50376,\"journal\":{\"name\":\"Indian Journal of Dermatology Venereology & Leprology\",\"volume\":\" \",\"pages\":\"1-6\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indian Journal of Dermatology Venereology & Leprology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.25259/IJDVL_1417_2024\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"DERMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Dermatology Venereology & Leprology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.25259/IJDVL_1417_2024","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"DERMATOLOGY","Score":null,"Total":0}
Box counting serial image index (BCSI) versus point counting serial image index (PCSI) in scoring melasma: A comparative, non-interventional validation study.
Background Point counting serial image index (PCSI) is a scoring method used to assess the area and severity of melasma. Double tracing and the inability to assess scattered pigmentation are its limitations. Objectives To propose modifications to PCSI, the Box counting serial image index (BCSI) was compared and validated with PCSI. Methods In BCSI, a preset grid was placed, and serial images were captured. One speck of pigmentation was counted as one box. The area involved and time taken were recorded by the principal investigator and coinvestigator using BCSI and PCSI methods, respectively. The intensity of the pigmentation was recorded on a scale of 0-5. Melasma score = Area x Intensity of pigmentation. The difference in the total scores and time taken were analysed. Results A significant decrease (p<0.0003) in the total scores between baseline and first follow-up and baseline and second follow-up was observed in both methods. Similarly to PCSI, BCSI was found to be sensitive to changes over time with treatment (p<0.0003). These p values were recalculated using Bonferroni corrections. The mean time taken by PCSI was significantly higher than BCSI (p < 0.0003). Limitations Grid placement over bony prominences and interference of facial hair. Conclusion BCSI overcomes the limitations of PCSI by directly capturing images and it is easy and rapid.
期刊介绍:
The Indian Association of Dermatologists, Venereologists & Leprologists (IADVL) is the national association of Indian medical specialists who manage patients with skin disorders, sexually transmitted infections (STIs) or leprosy. The current member strength of the association is about 3800. The association works for the betterment of the specialty by holding academic meetings, printing a journal and publishing a textbook. The IADVL has several state branches, each with their own office bearers, which function independently within the constitution of the IADVL.
Established in 1940, the Indian Journal of Dermatology, Venereology and Leprology (IJDVL, ISSN 0378-6323) is the official publication of the IADVL (Indian Association of Dermatologists, Venereologists and Leprologists).